Latest Technology Trends for 2017: Cybersecurity, Cloud Migration, AI (Artificial Intelligences), Machine learning and etc

Latest Technology Trends for 2017: Cybersecurity, Cloud Migration, AI (Artificial Intelligences), Machine learning and etc

In 2017, some of the top trends in Digital Transformation with some key trends in Customer Experience. So which tech trends are on the possibility should be the read. It’s important to recognize what technology is increasingly in popularity so you can allocate the time and funds to make these trends pay off your business. Here are some technology trends for enterprise in 2017. Well CIOs should already be thinking about integrating the tech such as Cybersecurity, Cloud Migration, AI (Artificial Intelligence), Machine learning, virtual reality, augmented reality, Automation For Data Centers And Marketing and etc.

See following Enterprise technology trends in 2017:

  • Cloud Migration:

Cloud Migration is the process of moving data, applications or other business elements from an organization’s onsite computers to the cloud, or moving them from one cloud environment to another. Cloud migration is a one type of the Cloud services.

Cloud Migration will be transforming to cloud-first strategies. Investing cloud server for cloud migration in cloud-first technology will mean extensive benefits for businesses.

Increased traffic, reduce operational costs, increase in capacity, streamlined operations, enhanced collaboration, and also increased productivity.

  • Cybersecurity

Cyber security involves protecting information and systems from major cyber attack. Cybersecurity is the part of technologies. It’s also known as IT security, is the protection of computer systems from the theft or damage to the hardware, software or the information on them, as well as interruption of the service they provide.

Security in the world of the internet of things (IoT) must be as alert at the components people use. It must be both solution and adaptive. Designers must consider IT security early in the development of applications, solutions, and enterprise architectures.  

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   Future of internet UI concept of internet of things IOT
  • Augmented Reality (AR) and Virtual Reality (VR):

Augmented reality (AR) is a live direct or indirect view of a physical, real-world environment whose elements are augmented (or supplemented) by computer-generated sensory input such as sound, video, graphics or GPS data.

Virtual reality (VR) typically refers to computer technologies that use software to generate the realistic images, sounds and other sensations that replicate a real environment (or create an imaginary setting), and simulate a user’s physical presence in this environment.

For example, Pokemon Go is fun Game – but we all expected it to change the way we can use augmented reality (AR) and virtual reality (VR) in the marketplace of ideas. Also there are virtual reality apps for iOS and Android and best VR Headsets. There is AR and VR devices in early stage development, In the upcoming year, expect versions of AR and VR to pop up everywhere.

  • Automation For Data Centers And Marketing

 Data center automation is the process of managing and automating the workflow and processes of a data center facility.

Marketing automation refers to software platforms and technologies designed for marketing departments and organizations to more effectively market on multiple channels and automate repetitive tasks.

So now, automation as an investment in the future, it will expand jobs, just in different sectors. Data centers already use open source automation tools, but we expect to see more marketing and data centers transitioning in this way.

  • Intelligent Apps

You’ve been already working with intelligent apps on a small scale. For example, VPAs- virtual personal assistants. In 2017, we will see the get higher of intelligent apps that go away from virtual assistant. Indeed, every software category- from security and further than will have artificial intelligence (AI) capabilities. By benefits AI, providers can focus on advanced analytics, more independent business processes, and more conversational interfaces.

The Technology Research of Gartner guesses that by 2018, the world’s largest 200 companies will be leveraging intelligent apps.

  • Blockchain:

Blockchain is the world’s leading software platform for digital assets. It’s offering the largest production Blockchain platform in the world. Using this new technology to build a completely better financial system.

Blockchain will be a big deal for new essential industries such as music distribution, title registry, and identity verification, to name the big ones. A Blockchain is a distributed database which maintains a continuously growing list of ordered records called blocks. Blockchain helps prevent the interfering of data and promises increased trust and less business friction by offering transparent access to the chain.

Well, many Blockchain initiatives are still in the early parts.

  • Artificial Intelligence (AI) and Machine learning

What is Artificial Intelligence (AI)?

“The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”

In other word, AI is the branch of computer science concerned with making computer behave like humans.

What is Machine learning?

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data.

Digital Transformation, Cybersecurity, Cloud Migration, AI (Artificial Intelligence), Machine learning, virtual reality, augmented reality, cloud computing, cloud migration strategy, Cloud services, cyber attack, internet of things ,IOT, VR headsets, virtual reality apps , marketing automation ,data center, virtual assistant , what is artificial intelligence
                     Artificial Intelligence

Digital Transformation, Cybersecurity, Cloud Migration, AI (Artificial Intelligences), Machine learning, virtual reality, augmented reality, cloud computing, cloud migration strategy, Cloud services, cyber attack, internet of things ,IOT, VR headsets, virtual reality apps , marketing automation ,data center, virtual assistant , what is artificial intelligence
                           Machine Learning

Artificial intelligence looked like the things of movies not too long ago. Machine- learning done by Artificial intelligence (AI) is an even greater jump. In 2017, though, expect more systems that can actually learn and change their behavior- most important the way for more intelligent devices. Machine-learning updates will rise across all tech, but who will be the big winner for this platform war is still up for takes.

About The Author

This is Bit Copy about Kavita Mevada. She is Best-Selling Author, Social Media and content marketing as well Professional Developer in web and mobile technology at InGeniousSofttech. Her goal in Internet world “Promoting Good information and news over internet and expand programming skill over web and mobile apps ”.

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